{"id":"https://openalex.org/W7083632223","doi":"https://doi.org/10.32604/cmc.2025.068138","title":"Lightweight Small Defect Detection with YOLOv8 Using Cascaded Multi-Receptive Fields and Enhanced Detection Heads","display_name":"Lightweight Small Defect Detection with YOLOv8 Using Cascaded Multi-Receptive Fields and Enhanced Detection Heads","publication_year":2025,"publication_date":"2025-09-28","ids":{"openalex":"https://openalex.org/W7083632223","doi":"https://doi.org/10.32604/cmc.2025.068138"},"language":"en","primary_location":{"id":"doi:10.32604/cmc.2025.068138","is_oa":true,"landing_page_url":"https://doi.org/10.32604/cmc.2025.068138","pdf_url":null,"source":{"id":"https://openalex.org/S4210191605","display_name":"Computers, materials & continua/Computers, materials & continua (Print)","issn_l":"1546-2218","issn":["1546-2218","1546-2226"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers, Materials & Continua","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.32604/cmc.2025.068138","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Shengran Zhao","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Shengran Zhao","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Zhensong Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhensong Li","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Xiaotan Wei","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaotan Wei","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Yutong Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yutong Wang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Kai Zhao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kai Zhao","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.34166726,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"86","issue":"1","first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T10905","display_name":"Solar Thermal and Photovoltaic Systems","score":0.6186000108718872,"subfield":{"id":"https://openalex.org/subfields/2105","display_name":"Renewable Energy, Sustainability and the Environment"},"field":{"id":"https://openalex.org/fields/21","display_name":"Energy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10905","display_name":"Solar Thermal and Photovoltaic Systems","score":0.6186000108718872,"subfield":{"id":"https://openalex.org/subfields/2105","display_name":"Renewable Energy, Sustainability and the Environment"},"field":{"id":"https://openalex.org/fields/21","display_name":"Energy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12008","display_name":"Solar-Powered Water Purification Methods","score":0.16539999842643738,"subfield":{"id":"https://openalex.org/subfields/2105","display_name":"Renewable Energy, Sustainability and the Environment"},"field":{"id":"https://openalex.org/fields/21","display_name":"Energy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13104","display_name":"Chemical and Physical Properties of Materials","score":0.024800000712275505,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.7265999913215637},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5917999744415283},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5220999717712402},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.46070000529289246},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4153999984264374},{"id":"https://openalex.org/keywords/surface","display_name":"Surface (topology)","score":0.3856000006198883},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.37369999289512634},{"id":"https://openalex.org/keywords/printed-circuit-board","display_name":"Printed circuit board","score":0.3634999990463257}],"concepts":[{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.7265999913215637},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.613099992275238},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5917999744415283},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5220999717712402},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.46070000529289246},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4153999984264374},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.39809998869895935},{"id":"https://openalex.org/C2776799497","wikidata":"https://www.wikidata.org/wiki/Q484298","display_name":"Surface (topology)","level":2,"score":0.3856000006198883},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38339999318122864},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3774000108242035},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.37369999289512634},{"id":"https://openalex.org/C120793396","wikidata":"https://www.wikidata.org/wiki/Q173350","display_name":"Printed circuit board","level":2,"score":0.3634999990463257},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3560999929904938},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.3149999976158142},{"id":"https://openalex.org/C530198007","wikidata":"https://www.wikidata.org/wiki/Q80831","display_name":"Integrated circuit","level":2,"score":0.31380000710487366},{"id":"https://openalex.org/C3020199158","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"High resolution","level":2,"score":0.311599999666214},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3034999966621399},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.2935999929904938},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.28859999775886536},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.28209999203681946},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.28060001134872437},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.26649999618530273},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.26499998569488525},{"id":"https://openalex.org/C2776584680","wikidata":"https://www.wikidata.org/wiki/Q191042","display_name":"Surface-mount technology","level":3,"score":0.26080000400543213},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.25769999623298645}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.32604/cmc.2025.068138","is_oa":true,"landing_page_url":"https://doi.org/10.32604/cmc.2025.068138","pdf_url":null,"source":{"id":"https://openalex.org/S4210191605","display_name":"Computers, materials & continua/Computers, materials & continua (Print)","issn_l":"1546-2218","issn":["1546-2218","1546-2226"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers, Materials & Continua","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.32604/cmc.2025.068138","is_oa":true,"landing_page_url":"https://doi.org/10.32604/cmc.2025.068138","pdf_url":null,"source":{"id":"https://openalex.org/S4210191605","display_name":"Computers, materials & continua/Computers, materials & continua (Print)","issn_l":"1546-2218","issn":["1546-2218","1546-2226"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers, Materials & Continua","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.40181782841682434}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"In":[0],"printed":[1],"circuit":[2],"board":[3],"(PCB)":[4],"manufacturing,":[5],"surface":[6,48,225],"defects":[7,77,176],"can":[8],"significantly":[9],"affect":[10],"product":[11],"quality.":[12],"To":[13],"address":[14],"the":[15,55,72,92,96,112,170,187,190],"performance":[16],"degradation,":[17],"high":[18,67],"false":[19],"detection":[20,68,156,166],"rates,":[21],"and":[22,40,58,102,131,164,177,202,205,209,220],"missed":[23],"detections":[24],"caused":[25],"by":[26,161,196,200,207],"complex":[27,79],"backgrounds":[28],"in":[29,95],"current":[30],"intelligent":[31],"inspection":[32],"algorithms,":[33],"this":[34],"paper":[35],"proposes":[36],"CG-YOLOv8,":[37],"a":[38,82,132],"lightweight":[39,133,221],"improved":[41],"model":[42,63],"based":[43,138],"on":[44],"YOLOv8n":[45],"for":[46,223],"PCB":[47,224],"defect":[49,226],"detection.":[50,227],"The":[51,155],"proposed":[52,191],"method":[53],"optimizes":[54],"network":[56],"architecture":[57],"compresses":[59],"parameters":[60],"to":[61,90,98,115,127,149,173,186],"reduce":[62,128],"complexity":[64],"while":[65],"maintaining":[66],"accuracy,":[69],"thereby":[70,168],"enhancing":[71,169],"capability":[73],"of":[74],"identifying":[75],"diverse":[76],"under":[78],"conditions.":[80],"Specifically,":[81],"cascaded":[83],"multi-receptive":[84],"field":[85],"(CMRF)":[86],"module":[87,94,114,141],"is":[88,109,142,158],"adopted":[89],"replace":[91],"SPPF":[93],"backbone":[97],"improve":[99],"feature":[100],"perception,":[101],"an":[103,218],"inverted":[104],"residual":[105],"mobile":[106],"block":[107],"(IRMB)":[108],"integrated":[110],"into":[111],"C2f":[113],"further":[116,178],"enhance":[117],"performance.":[118],"Additionally,":[119],"conventional":[120],"convolution":[121],"layers":[122],"are":[123],"replaced":[124],"with":[125],"GSConv":[126],"computational":[129],"cost,":[130],"Convolutional":[134],"Block":[135],"Attention":[136],"Module":[137],"Convolution":[139,147],"(CBAMConv)":[140],"introduced":[143],"after":[144],"Grouped":[145],"Spatial":[146],"(GSConv)":[148],"preserve":[150],"accuracy":[151],"through":[152],"attention":[153],"mechanisms.":[154],"head":[157],"also":[159],"optimized":[160],"removing":[162],"medium":[163],"large-scale":[165],"layers,":[167],"model\u2019s":[171],"ability":[172],"detect":[174],"small-scale":[175],"reducing":[179],"complexity.":[180],"Experimental":[181],"results":[182],"show":[183],"that,":[184],"compared":[185],"original":[188],"YOLOv8n,":[189],"CG-YOLOv8":[192,216],"reduces":[193],"parameter":[194],"count":[195],"53.9,":[197],"improves":[198],"mAP@0.5":[199],"2.2,":[201],"increases":[203],"precision":[204],"recall":[206],"2.0":[208],"1.8,":[210],"respectively.":[211],"These":[212],"improvements":[213],"demonstrate":[214],"that":[215],"offers":[217],"efficient":[219],"solution":[222]},"counts_by_year":[],"updated_date":"2025-11-15T23:13:30.683059","created_date":"2025-10-10T00:00:00"}